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- W2106164773 abstract "We analyze next generation cellular networks, offering connectivity to mobile users through multiple radio access technologies (RATs), namely LTE and WiFi. We develop a framework based on the Markovian agent formalism, which can model several aspects of the system, including user traffic dynamics and radio resource allocation. In particular, through a mean-field solution, we show the ability of our framework to capture the system behavior in flash-crowd scenarios, i.e., when a burst of traffic requests takes place in some parts of the network service area. We consider a distributed strategy for the user RAT selection, which aims at ensuring high user throughput, and investigate its performance under different resource allocation schemes." @default.
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- W2106164773 date "2013-11-01" @default.
- W2106164773 modified "2023-09-25" @default.
- W2106164773 title "Traffic offloading/onloading in multi-RAT cellular networks" @default.
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- W2106164773 doi "https://doi.org/10.1109/wd.2013.6686526" @default.
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